Disentangled Lifespan Face Synthesis

Last update: Sep 20, 2022

Related tags

Deep Learning DLFS

Overview

Disentangled Lifespan Face Synthesis

Project Page | Paper

Demo on Colab

Preparation

Please follow this github to prepare the environments and dataset.

Training and Testing (link to the pretrained models in the colab)

training (please modify --dataroot, --name):

sh train_distan.sh

testing (please modify --dataroot, --name, --which_epoch, and --checkpoing_dir):

sh test_distan.sh

Reference

If you find this repo helpful, please consider citing:

@inproceedings{he2021dlfs,
  title={Disentangled Lifespan Face Synthesis},
  author={He, Sen and Liao, Wentong and Yang, Michael and Song, Yi-Zhe and Rosenhahn, Bodo and Xiang, Tao},
  booktitle={ICCV},
  year={2021}
}

Acknowledgements

This repository is based on LFS.

Owner

何森

Research fellow at CVSSP, University of Surrey, UK.

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Disentangled Lifespan Face Synthesis

Related tags

Overview

Disentangled Lifespan Face Synthesis

Project Page | Paper

Demo on Colab

Preparation

Training and Testing (link to the pretrained models in the colab)

Reference

Acknowledgements

Owner

何森

Probabilistic Tensor Decomposition of Neural Population Spiking Activity

Official implementation for CVPR 2021 paper: Adaptive Class Suppression Loss for Long-Tail Object Detection

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Tensorflow 2 implementations of the C-SimCLR and C-BYOL self-supervised visual representation methods from "Compressive Visual Representations" (NeurIPS 2021)

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The best solution of the Weather Prediction track in the Yandex Shifts challenge

Code for our CVPR 2021 Paper "Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes".

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